Portrait

We are BASELABS - We enable data fusion results

BASELABS is the Germany-based software development company for sensor fusion. We are focused on the data fusion in multiple sensor scenarios. With our development software and project support, we enable data fusion results. Our customers are leading OEM, tier 1 and tier 2 suppliers as well as engineering service companies and academic institutions. BASELABS offers interesting job opportunities in software and data fusion application development to constantly grow our team of currently 30 team members.

Who we are

Data fusion enthusiast. And experienced software developers.The BASELABS team as a strong background in both algorithm development for advanced driver assistance systems (ADAS) and automated vehicles. From our team of sixteen, eight earned their Phd in data fusion or related fields with a strong mathematical background. The team has a broad experience in probabilistic data fusion techniques from several implementations for leading customers from the automotive industry. Our software development team has a long experience in developing high quality software for different industries. We are your thrustworthy partner for challenging tasks in data fusion development, be it with our development tools or our project support. And we have a lot of fun – for example at our quarterly team events.

What we do

Software for the development and validation of sensor fusion applicationsSensor data fusion refers to the combination of data from different sensors to gain information. In the automotive industry, typical sensors in use are radar sensors, laser scanners and cameras, to name but a few. This sensor information is used to generate a representation of the environment of the vehicle, the so-called environment model. The purpose of this model is the reliable environment perception, so that the vehicle “knows” which objects (other vehicles, but also persons or other obstacles) are around. On the basis of this information, the vehicle can decide on whether an action is required to support the driver (e.g. an automated emergency brake maneuver) or which maneuver should be performed in a fully autonomous vehicle. The data fusion for the environment perception is a challenging tasks. Software from BASELABS is used to develop the sensor fusion and makes this complex development effort a lot more efficient by supporting the development engineer in these tasks. Our customers use our software to develop cutting-edge driver assistance systems and automated vehicles. After the system development, the new system needs to be tested for reliable performance. BASELABS also supports users who test sensor fusion systems in virtual environments.

Our offering

For the development of sensor fusion systems for ADAS and automated driving, BASELABS provides software and services. The software tool lineup includes BASELABS Create, a software framework for algorithms and models for environment perception, and BASELABS Code, a source code generator for complex algorithms. For the virtual validation of ADAS systems, we provide BASELABS Models. These are sensor model plugins for simulation environments. They allow a more realistic simulation of ADAS sensors for the virtual validation of data fusion systems.

Whom we serve

Partner of leading OEM, Tier 1 and Tier 2 suppliers as well as Service ProvidersBASELABS data fusion development tools are in use at leading companies in the automotive industry. Our customers develop advanced driver assistance systems as well as environment models with our software. We also support our customers with customer specific software modules.

Selected References

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Research

We are active members of the scientific community and contribute(d) to several research projects. All of the projects have a direct connection to data fusion, but cover a broad variety of topics. Current examples of ongoing project topics are the automatic generation of Autosar-compatible implementations of signal processing algorithms, usage of data fusion to increase safety in tunnels and cooperative (semi-)automated driving. The latter is covered in the AutoNet2030 project. Please refer to the video below and the project website.